Skip to content

In this project, we conducted an analysis of Bangalore restaurant cuisines using data collected from Swiggy, a popular food delivery platform. We utilized Python and MS Excel to gather, organize, and analyze the data.

Notifications You must be signed in to change notification settings

BrajeshVKulkarni/swiggy_Analysis_project

Repository files navigation

swiggy_Analysis_project

Analysis of Swiggy Website based on Restaurants in Bangalore

User's Manual

Files/Folder Description
Dataset Folder This folder provides data in csv format
Python File This contains the .ipynb file of the analysis for Data Extract and Data cleaning.
Excel This contains the .sql file for the exploratory data analysis.

Analysis

o Highest number of orders placed in Bangalore District.

o Location with maximum number of restaurant where delivery review number is more than 1000.

o Analysing the location with the maximum number of less rated restraunt.

o To check the most popular cuisines in Bangalore.

o Average rating of most popular Cuisines.

o Average price for most popular Cuisines.

Quick Start

  1. Import the data using Selenium and ChromeDriverManager libraries.

  2. Once we got the data , stated analysing the data by using pandas.

  3. Imported the aggregated data into Excel for further Analysis and Visualisation.

About

In this project, we conducted an analysis of Bangalore restaurant cuisines using data collected from Swiggy, a popular food delivery platform. We utilized Python and MS Excel to gather, organize, and analyze the data.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published